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The application of multi-mode MR imaging technology in the tumor infiltration boundary of cerebral glioma

Differentiation of T1 stagenasopharyngeal carcinoma and lymphoid hyperplasia by mono-exponential and bi-exponential metrics of TSE DWI

Evaluation of diagnostic and prognostic value of high-resolution 3D 1H-MRSI for patients with newly diagnosed glioma

Multi-stage ensemble machine learning for predicting the pathology of thyroid micronodules on small-datasets high b-value thyroid DWI

The performance of pretreatment MR-based radiomics in RHEScombined chemoradiotherapy response prediction in nasopharyngeal carcinoma.

PredictingtheriskgradesofthymicepithelialtumorsusingmagneticresonanceT1mappinganddiffusionweightedimaging:apilotstudy

Three-dimension Amide Proton Transfer Imaging for Predicting the Treatment Response of Nasopharyngeal Carcinoma

A time-related random forest survival model based on MR imaging markers to predict the survival of patients with nasopharyngeal carcinoma

Author:Chao Luo  Haixia Li  Kan Deng  Haojiang Li  

Session Type:Online Gather.town Pitches  

Session Date:Monday, 09 May 2022  

Topic:Module 4: Clinical Diagnosis & Treatment  

Session Name:Brain, Head & Neck Cancer  

Program Number:3138  

Room Session:1  

Institution:Philips Healthcare  Sun Yat-sen University Cancer Center